Elmar Haußmann

814 total citations
12 papers, 354 citations indexed

About

Elmar Haußmann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Elmar Haußmann has authored 12 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Management Science and Operations Research. Recurrent topics in Elmar Haußmann's work include Topic Modeling (7 papers), Semantic Web and Ontologies (6 papers) and Natural Language Processing Techniques (5 papers). Elmar Haußmann is often cited by papers focused on Topic Modeling (7 papers), Semantic Web and Ontologies (6 papers) and Natural Language Processing Techniques (5 papers). Elmar Haußmann collaborates with scholars based in Germany. Elmar Haußmann's co-authors include Hannah Bast, Björn Buchhold, Kashyap Chitta, José M. Alvarez, Clément Farabet, Martin Potthast, José Manuel González y Fernández Valles and Christoph Angerer and has published in prestigious journals such as KI - Künstliche Intelligenz, now publishers, Inc. eBooks and arXiv (Cornell University).

In The Last Decade

Elmar Haußmann

12 papers receiving 336 citations

Peers

Elmar Haußmann
Comparison fields: 5 of 36
  • Artificial Intelligence 318
  • Information Systems 79
  • Management Science and Operations Research 43
  • Computer Vision and Pattern Recognition 42
  • Signal Processing 28
Replace Björn Buchhold with:
Björn Buchhold Germany
Alex Ratner United States
Mianwei Zhou United States
Eric Crestan United States
Avirup Sil United States
Chris Hokamp Ireland
Joachim Daiber Netherlands
Pavan Kapanipathi United States
Paraskevi Raftopoulou Greece
Yunhua Hu China
Björn Buchhold Germany View profile →
Citations per field, relative to Elmar Haußmann
Elmar Haußmann · 1×
Citations per year, relative to Elmar Haußmann
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Countries citing papers authored by Elmar Haußmann

Since Specialization
Citations

This map shows the geographic impact of Elmar Haußmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Elmar Haußmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elmar Haußmann more than expected).

Fields of papers citing papers by Elmar Haußmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elmar Haußmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Elmar Haußmann. The network helps show where Elmar Haußmann may publish in the future.

Co-authorship network of co-authors of Elmar Haußmann

This figure shows the co-authorship network connecting the top 25 collaborators of Elmar Haußmann. A scholar is included among the top collaborators of Elmar Haußmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elmar Haußmann. Elmar Haußmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 1
2
Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling.
2
3 5
4 2
5 75
6 10
7 149
8 12
9 35
10 16
11 33
12 14

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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